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Sherlocks AI account
Sherlocks AI
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What you get
A Sherlocks AI account without a paid subscription: the free tier is enough to connect your observability tools, try the agents on real alerts and see how well the analyses land, and you add a paid tier yourself. Look at the email owner and traces of use — they show whether the account was created for resale or actually worked in. Check as well which connections into infrastructure are already configured in the account and whether a previous owner's keys are still sitting there. The marketplace guarantee covers sign-in and working access at the moment of delivery.
About the service
An AI teammate for the on-call engineer that lives right in your Slack or Teams channel: when an alert fires, the platform dispatches a squad of sixteen-plus domain-specialised agents that investigate autonomously the way a seasoned on-call would — pulling up dashboards, querying observability tools, correlating signals across the stack and tracing the problem to its root cause. The sequence goes like this: the incident is mapped onto an infrastructure knowledge graph, hypotheses are formed, agents go after logs, metrics and traces, validate their findings and deliver a root cause analysis with remediation recommendations — typically in a couple of minutes rather than hours of manual digging. It connects to Datadog, New Relic, Prometheus, Sentry, Coralogix, Elasticsearch and Loki, to AWS, GCP and Azure, to Kubernetes, PostgreSQL, MySQL, MongoDB, Redis, Kafka and RabbitMQ, and to GitHub Actions and Jenkins. The data-gathering agent, Watson, runs inside your own VPC with strictly read-only permissions and installs via a Terraform module, Helm chart or CloudFormation template, with Kubernetes optional — which is why the product clears security review even at lean companies selling into enterprises. It is SOC 2 Type 2 certified, and higher tiers add air-gapped deployment and an in-VPC language model.